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    ICMCS
    2005
    IEEE
    126views Multimedia» more  ICMCS 2005»
    Semantic Routing and Filtering for Large-Scale Video Streams Monitoring
    13 years 11 months ago
    Semantic Routing and Filtering for Large-Scale Video Streams Monitoring
    Download  www.cecs.uci.edu
    In this paper, we propose a semantic routing and filtering framework for large-scale monitoring of video streams. Our goal is to build a distributed system that at any given time ...
    Ching-Yung Lin, Olivier Verscheure, Lisa Amini
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    PDC
    2004
    ACM
    168views Theoretical Computer Science» more  PDC 2004»
    From small scale to large scale user participation: a case study of participatory design in e-government systems
    13 years 11 months ago
    From small scale to large scale user participation: a case study of participatory design in e-government systems
    Download  publicsphereproject.org
    Most experiments with participative design are with small scale, stand alone and not very strategic applications of ICT in organizations. However, modern ICT applications are incr...
    Anne-Marie Oostveen, Peter Van den Besselaar
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    TKDE
    2012
    270views Formal Methods» more  TKDE 2012»
    Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
    11 years 8 months ago
    Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
    Download  www.cs.wayne.edu
    —Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
    Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
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    SIAMSC
    2011
    219views more  SIAMSC 2011»
    Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
    13 years 22 days ago
    Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
    Download  lucaswilcox.com
    We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
    H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
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    SDM
    2011
    SIAM
    414views Data Mining» more  SDM 2011»
    Clustered low rank approximation of graphs in information science applications
    12 years 8 months ago
    Clustered low rank approximation of graphs in information science applications
    Download  www.cs.utexas.edu
    In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
    Berkant Savas, Inderjit S. Dhillon
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